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@ -67,7 +67,19 @@ Introducing **DeepGEMM** - an FP8 GEMM library that supports both dense and MoE
📊 Analyze computation-communication overlap in V3/R1. 📊 Analyze computation-communication overlap in V3/R1.
🔗 [**GitHub Repo**](https://github.com/deepseek-ai/profile-data) 🔗 [**GitHub Repo**](https://github.com/deepseek-ai/profile-data)
### Ongoing Releases... ### Day 5 - 3FS, Thruster for All DeepSeek Data Access
Fire-Flyer File System (3FS) - a parallel file system that utilizes the full bandwidth of modern SSDs and RDMA networks.
⚡ 6.6 TiB/s aggregate read throughput in a 180-node cluster
⚡ 3.66 TiB/min throughput on GraySort benchmark in a 25-node cluster
⚡ 40+ GiB/s peak throughput per client node for KVCache lookup
🧬 Disaggregated architecture with strong consistency semantics
✅ Training data preprocessing, dataset loading, checkpoint saving/reloading, embedding vector search & KVCache lookups for inference in V3/R1
📥 3FS → https://github.com/deepseek-ai/3FS
⛲ Smallpond - data processing framework on 3FS → https://github.com/deepseek-ai/smallpond
## 2024 AI Infrastructure Paper (SC24) ## 2024 AI Infrastructure Paper (SC24)
### Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning ### Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning